case database造句

• The construction and application of the disaster insurance case database
  以湖南省溆浦县保险赔案数据库为例
• The construction and application of the natural disaster case database in china
  以中国1998年洪水灾害案例数据库为例
• Finally , this paper discusses the maintenance of case database in cbid system , and the research on the assembly of case databases and the expansion of cases
  最后论文论述cbid系统案例库的维护,并对案例组装和案例扩展进行了构想。
• In order to help the manager improve their level of the management and technology and lay a foundation for the practicality application of the fault diagnosis system based on cbr , the fault cases database is built
  为了帮助管理人员提高卫星的管理水平和技术水平,同时为基于案例的故障诊断系统的实际应用奠定基础,本文建立了故障案例库。
• The design cases are stored by relational database . the similar case can be obtained from the database by direct code retrieving and similarity coefficient computing . different overwrite mechanisms are used to overwriting different case database , for example , deriver overwriting for working parts , cbr for standard parts and feature - modeling for non - standard parts
  通过对冲裁模设计过程的分析，将设计方案组织成冲裁件及对应的冲裁模实例库，采用简单实用的编码法对实例进行编码；利用关系数据库存储实例，直接通过对编码的检索和相似性系数的计算得到相似实例；采用派生改写法改写工作零件，基于cbr的数据库改写标准件，特征造型法改写非标准件。
• In third part , we established two algorithm : data reduct and mdrbr ( mining default rules based on rough set ) , the objective is to acquire diagnostic knowledge from cases automatically from the diagnosed cases database , in the end established knowledge database that could be used for consequence . and in this part , we also discussed question how to inosculate between acquire knowledge by data mining and experience of clinician , and estimated for knowledge
  从第三部分开始，在经典粗糙集理论的基础上建立适合于医学信息数据挖掘的算法:数据简约和默认规则挖掘算法mdrbr ( miningdefaultrulesbasedonroughset ) ，将诊断知识从确诊病例数据库中自动的获取出来，最终形成可用于推理的知识，还讨论了对于所挖掘到的知识如何与临床医生的经验融合的问题，以及知识的初步评价。
• There are follow innovative idea : solving the bottleneck problem in constructing medicinal assisted diagnosis system using technology of data mining ; starting with classical rough set theory , established two algorithms : data reduct and mdrbr ( mining default rules based on rough set ) , the objective is to acquire diagnostic knowledge from cases automatically from the diagnosed cases database , in the end established knowledge database that could be used for consequence
  本研究的创新点:使用数据挖掘技术，解决医学辅助诊断专家系统开发过程中的瓶颈问题;从经典的粗糙集理论入手，结合确诊病例数据库和临床诊断的特点，得到两种数据挖掘算法:数据简约算法和默认规则挖掘算法mdrbr ( miningdefaultrulesbasedonroughset ) ，从已确诊病例数据库中获得骨肿瘤诊断知识，建立诊断知识库。
• According with the traits of stamping die design , hierarchical model of stamping parts and stamping die are described by object - oriented quasi - fragmental language , and the hierarchical model of stamping parts and stamping die are constructed . by analyzing the design process of the stamping die , the design schemes are grouped to stamping part and die case databases
  在此基础上根据冲裁模的设计特点，采用面向对象的类框架语言对分层信息模型进行了描述，并构造了冲裁件及冲裁模的分层信息模型。
• This research started with establishing diagnosed cases database . after discussing with medical experts , 100 cases were selected from 120 cases inpatients in institute of bone tumors of chinese pla , the second teaching hospital , the fourth military medical university as the resource of knowledge database ; clinical checkup knowledge database including image information was set up according to the case content ; coding all information of clinical diagnoses , using sql server 2000 to storage database
  本研究从建立确诊病例数据库入手，首先从第四军医大学第二附属医院全军骨肿瘤研究所获得120例住院患者的病例，再将这120例病例与临床专家一起协商，初步筛选出100例，作为建立确诊病例数据库数据的来源，然后根据病例的内容建立包括图像信息在内的患者临床检查数据库，对各种临床诊断信息统一编码，使用sqlserver2000作为数据库存储后台。